15 results about "Atmospheric models" patented technology

The invention belongs to the technical field of electric power meteorology, and provides a medium and long term wind and light resource prediction method and system considering climate remote correlation factors, and the method comprises the steps: obtaining global climate index historical data, and carrying out the standardization processing of the data, and obtaining a standardized climate index; for the historical resource sequence of the target station, calculating the mutual information value of the standardized climate index, and constructing a forecasting factor set by taking the lag time corresponding to the maximum value of the mutual information as the optimal early warning window period; extracting wind and light resource measured data of the same period in historical years to construct a reference probability density function; and taking the reference probability density function as prior distribution, combining a preset dynamic mode prediction result as a likelihood function, and outputting a prediction result containing a deterministic value and a confidence interval. By means of the characteristic that ocean signals change slowly, the method breaks through the 15-day prediction limit of an atmospheric mode, effective trend prediction from the quarterly level to the annual level is successfully achieved, and the requirement for medium and long term resource evaluation is met.

The embodiment of the invention provides an atmospheric modeling coefficient determination method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a plurality of candidate baselines and atmospheric modeling coefficients according to coordinate values and observation values of a reference station and ephemeris of a common-view satellite, and determining modeling residuals of the plurality of candidate baselines based on the atmospheric modeling coefficients; determining whether the atmospheric modeling coefficient meets a preset condition or not; if the preset condition is not met, determining a target baseline in the plurality of candidate baselines based on the modeling residual error, removing the target baseline, and updating a plurality of auxiliary reference stations included in the reference station network by adopting auxiliary reference stations corresponding to the remaining candidate baselines, returning to continuously execute the step of determining the plurality of candidate baselines and the atmospheric modeling coefficients according to the coordinate values and the observation values of the reference stations in the reference station network and the ephemeris of the common-view satellite; and if a preset condition is met, taking the atmosphere modeling coefficient as a target atmosphere modeling coefficient. The method is used for achieving the effect of improving the accuracy and reliability of the atmospheric modeling coefficient.

The application discloses a complex terrain processing method and system suitable for a three-dimensional non-hydrostatic atmospheric model, which comprises the following steps: adopting preset regional terrain data and an atmospheric background field, and performing atmospheric model preprocessing on the terrain data; performing key grid identification on the preset region to obtain a grid distribution, marking terrain nearby grid points according to the grid distribution and recording distance and slope information, obtaining a marked grid distribution, dividing the marked grid distribution according to a process number and calculating a sub-region, and performing adaptive grid encryption on the sub-region; updating a forecast variable value at a next moment by updating an atmospheric equation group of the sub-region after high-order numerical discretization, generating a logarithmic velocity profile based on the Monin-Obukhov similarity theory, processing an atmospheric velocity of a boundary layer according to the logarithmic velocity profile to obtain an ideal velocity distribution curve, and outputting atmospheric motion characteristics under a complex terrain by correcting a forecast variable on a grid point near a lower surface boundary.

This invention relates to a unified geometric calibration method for large-scale spaceborne SAR images, comprising: collecting SAR image products and preprocessing them to obtain intensity data; constructing an RD geometric positioning model based on SAR image auxiliary files; acquiring the corresponding orthophoto and digital elevation model of the SAR image, generating a database of control points and checkpoints, thereby calculating the geometric positioning deviation of the initial RD model; determining the sources of ground geometric positioning errors based on the SAR imaging mechanism, thereby establishing error equations and a geometric calibration model; obtaining atmospheric parameters using a standard atmospheric model and combining it with the Saas-Tamonin and Krobuscher models to achieve near-real-time estimation of atmospheric path delay; calculating SAR satellite imaging error correction parameters based on the control point database and the geometric calibration model, and then updating the RD geometric positioning model. Compared with existing technologies, the unified geometric calibration method for large-scale spaceborne SAR images adopted in this invention does not require the support of a geometric calibration field and does not rely on reanalysis meteorological products, thus possessing better versatility.

The invention discloses a communication channel intelligent prediction method and device under atmospheric disturbance, and relates to the technical field of communication, and the method comprises the steps: obtaining the atmospheric feature data and corresponding height information between a satellite and a ground end, determining the atmospheric disturbance data of the corresponding height based on the atmospheric feature data and the height information, and carrying out the intelligent prediction of a communication channel based on the height information. The method comprises the following steps: generating a prediction scale, fusing the prediction scale with atmospheric disturbance data, generating an atmospheric stratification model, determining a communication channel interval between a satellite and a ground end, determining a corresponding channel interval atmospheric model in the atmospheric stratification model according to the communication channel interval, generating an atmospheric change trend based on the prediction scale and the channel interval atmospheric model, and enabling the communication channel parameters to act on an atmospheric change trend, generating a channel quality change curve, and determining a quality prediction result of the communication channel based on the prediction scale and the channel quality change curve. Through the above mode, the problem of real-time prediction of the communication channel performance in a complex atmospheric environment is solved.

The application discloses a kind of sea-air wave flow coupling optimization method based on multiscale process, to solve the adaptability of existing coupling mode in multiscale process, physical description accuracy deviation and numerical conservation stability difference and other problems.This method first improves the physical parameterization: in atmospheric model, introduce the sea surface roughness parameterization based on wave spectrum dynamic correction, in ocean model, adopt dynamic bottom friction with energy conservation constraint.At the same time, the collaborative mechanism is used: creatively, multiscale adaptive coupling dispatcher is unified with high-order non-oscillatory conservation mapping algorithm and energy spectrum conservation mapping algorithm.The closed-loop collaborative mechanism forces to use flux mapping instead of field interpolation, ensures that the transfer of momentum, mass and energy remains strictly conserved under dynamic variable-frequency coupling, overcomes the numerical conservation barrier in variable-frequency coupling, significantly improves the simulation accuracy and long-term stability under extreme conditions such as typhoon.

The invention relates to a wind resource assessment technology, discloses an atmospheric mode wind resource assessment method supporting visual parameter configuration, and solves the problems that in current wind resource assessment, the process is split, the data management efficiency is low, and result display and application are disjointed, so that efficient and accurate assessment requirements are difficult to meet. According to the scheme, the method comprises the steps that firstly, calculation parameters input by a user are obtained through a front-end visual interface, and a mode configuration file which can be directly used for atmospheric mode calling is generated; thirdly, calling an atmospheric mode based on the mode configuration file to execute numerical simulation, and generating meteorological element data containing wind speed and wind direction in combination with the preprocessed external reanalysis data; then, converting the meteorological element data from a potential height coordinate to a terrain height coordinate, and generating a map file and a time sequence file; and finally, according to the atlas file and the time sequence file, in a front-end visual interface, displaying a meteorological element atlas and a time sequence chart in the visual interface.

The invention discloses an iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method, and belongs to the technical field of low ionosphere detection. According to the iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method, an iron resonance fluorescence laser radar simulation model is constructed, and photon echo signals are simulated in combination with an NRLMSIS-00 atmosphere model and actually measured iron atom density data; analyzing the influence of laser frequency jitter and light quantum noise on the inversion precision by adopting a Monte Carlo method; then, the error performance of a frequency scanning method and the error performance of a three-frequency ratio method are compared, it is proved that the error of the frequency scanning method in temperature inversion is lower, and the iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method can provide guidance for systematic error modeling and parameter design of an iron resonance fluorescence laser radar; and the accuracy of atmospheric temperature and wind speed inversion can be improved.

The invention relates to a manufacturing method of a high-precision high-altitude wind field reanalysis data set, and belongs to the technical field of meteorological high-altitude wind field fusion. According to the method, standard atmospheric pressure layer division with the interval of 250 meters of sounding second data and a standard atmospheric model, background field wind field processing based on ERA5, ERA5 and high-altitude detection wind field fusion adopting an optimal interpolation method are integrated, and a high-altitude wind field reanalysis data set is manufactured. According to the method, ERA5 reanalysis data and national high-altitude wind field detection data are fused, a high-precision high-altitude wind reanalysis data set of 80 layers below 20000 meters is made, and the data set can more finely and accurately reflect the wind field conditions of China and surrounding areas thereof.

The invention relates to the technical field of new energy output prediction, in particular to a sea-air-wave coupling meteorological field simulation and spatial-temporal characteristic analysis method and system, and the method comprises the steps: obtaining sea-air-wave multi-source meteorological data, and carrying out the preprocessing and normalization; a sea mode component, an atmosphere mode component and a sea wave mode component are introduced to carry out numerical modeling on each meteorological component, integrated modeling is carried out under a framework of a regional sea-air-wave coupling model, a bidirectional feedback mechanism among the sea, the atmosphere and the sea waves is established, and a space-time continuous coupling meteorological field is output; correcting regional space distribution of wind speed and wave height meteorological variables for the coupled meteorological field by adopting a Kriging spatial interpolation method to obtain meteorological field space-time simulation data after coupling; a convolutional neural network and a multi-layer perceptron are introduced to identify and extract key meteorological features, photovoltaic output historical data are combined, the influence of different marine meteorological elements on power prediction fluctuation is quantified by using a mutual information method, and the problem of large prediction deviation is overcome.

The invention provides a marine atmosphere-ocean current-wave multi-element coupling simulation method and a post-report environment condition database system development method.The simulation method comprises the following steps that S1, an atmosphere mode, an ocean current mode and a wave mode are established respectively, and parameterization schemes of all the modes are optimized; s2, establishing a bidirectional coupling mechanism among the atmospheric mode, the ocean current mode and the wave mode to realize data transmission and interaction among the modes; s3, collecting multi-source observation data, optimizing each mode parameter through a data assimilation technology, and evaluating the simulation precision of each mode output simulation data by adopting a statistical analysis method; and S4, according to an evaluation result, optimizing each mode parameter and a parameterization scheme, and finally generating high-precision marine environment simulation data. The technical problems that in the prior art, the marine environment multi-element high-precision coupling simulation capacity is insufficient, and efficient integrated management on multi-element and long-time-sequence marine environment data is lacked are solved.

This invention discloses a method and system for simulating urban flooding based on atmospheric-hydrological-hydraulic coupling. The method includes: acquiring a standard input dataset of the study area; constructing a unified control surface; inputting meteorological data into an atmospheric model to obtain the spatial distribution of rainfall in the study area; inputting the spatial distribution of rainfall into a hydrological model to obtain the time series results of river water levels; inputting marine data into a marine dynamic model to obtain the time series results of tidal boundaries; identifying urban boundary exchange units based on the unified control surface; establishing comprehensive inflow conditions for urban flooding to obtain the comprehensive inflow rate; and based on the comprehensive inflow rate, spatial distribution of rainfall, and dynamic drainage boundary conditions, obtaining the water depth distribution, flow velocity distribution, water volume distribution, and water accumulation evolution process in the urban area, calculating the flood risk index, and outputting the urban flooding simulation results. This invention has the advantages of improving the accuracy and reliability of urban flooding simulation results.

This invention discloses an outdoor radiometric calibration method for an infrared imager, comprising: under outdoor operating conditions, selecting observation times that meet preset radiometric calibration conditions as radiometric calibration times; within the radiometric calibration times, based on the near-time-series acquisition characteristics of sky observation signals and outer blackbody observation signals, performing differential processing on the two to obtain measured signal difference components; based on the outdoor environmental information corresponding to the radiometric calibration times, constructing a regional clear-sky atmospheric model, and using a radiative transfer model to simulate and obtain the downward infrared radiation of the clear-sky all-sky at the corresponding times, and constructing physical radiation difference components for outdoor radiometric calibration; based on multiple sets of measured signal difference components and corresponding physical radiation difference components, obtaining the full-field radiometric calibration coefficient matrix through regression analysis, and converting the infrared imaging signal into infrared radiation. This method eliminates the need to construct complex laboratory radiometric calibration conditions, allowing for direct radiometric calibration of the infrared imager in the outdoor environment.

Embodiments of the present application provide a method and device for determining atmospheric modeling coefficients, electronic equipment and a storage medium. The method comprises: determining a plurality of candidate baselines and atmospheric modeling coefficients according to coordinate values of reference stations, observation values and ephemeris of common view satellites; determining modeling residuals of the plurality of candidate baselines based on the atmospheric modeling coefficients; determining whether the atmospheric modeling coefficients meet a preset condition; if the atmospheric modeling coefficients do not meet the preset condition, determining a target baseline from the plurality of candidate baselines based on the modeling residuals, eliminating the target baseline, updating a plurality of secondary reference stations included in a reference station network using secondary reference stations corresponding to the remaining candidate baselines, and returning to continue the step of determining the plurality of candidate baselines and the atmospheric modeling coefficients according to the coordinate values of the reference stations in the reference station network, the observation values and the ephemeris of the common view satellites; and if the atmospheric modeling coefficients meet the preset condition, taking the atmospheric modeling coefficients as target atmospheric modeling coefficients. The method is used to improve the accuracy and reliability of the atmospheric modeling coefficients.